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Domènec Farré

dblp:58/4745 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-8553-1983ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › motif discovery
regulatory motif discovery
0.112007
PEAKS: identification of regulatory motifs by their position in DNA sequences · Bioinform. 2007
Bioinformatics and computational biology
genomics
0.012002
PROMO: detection of known transcription regulatory elements using species-tailored searches · Bioinform. 2002
Bioinformatics and computational biology › gene regulation
transcription factor binding site prediction
0.012002
PROMO: detection of known transcription regulatory elements using species-tailored searches · Bioinform. 2002
Bioinformatics and computational biology › gene regulation
gene regulation analysis
0.012007
PEAKS: identification of regulatory motifs by their position in DNA sequences · Bioinform. 2007
Bioinformatics and computational biology › sequence analysis › sequence motif analysis
position weight matrix
0.012002
PROMO: detection of known transcription regulatory elements using species-tailored searches · Bioinform. 2002

Methods — techniques the papers use, named apart from their topics

positional frequency analysis · 0.1
YearPublicationVenuePosition
2007 PEAKS: identification of regulatory motifs by their position in DNA sequences
abstract
UNLABELLED: Many DNA functional motifs tend to accumulate or cluster at specific gene locations. These locations can be detected, in a group of gene sequences, as high frequency 'peaks' with respect to a reference position, such as the transcription start site (TSS). We have developed a web tool for the identification of regions containing significant motif peaks. We show, by using different yeast gene datasets, that peak regions are strongly enriched in experimentally-validated motifs and contain potentially important novel motifs. AVAILABILITY: http://genomics.imim.es/peaks
Nicolás Bellora, Domènec Farré, M. Mar Albà
Bioinform.2
2002 PROMO: detection of known transcription regulatory elements using species-tailored searches
abstract
Abstract Summary: We have developed a set of tools to construct positional weight matrices from known transcription factor binding sites in a species or taxon-specific manner, and to search for matches in DNA sequences. Availability: PROMO can be accessed online at http://www.lsi.upc.es/~alggen under the research link. Supplementary information: An example of the graphic interface (Figure 1) can be visualized at http://www.lsi.upc.es/~alggen/recerca/promo/figuraBioinformatics.html. Contact: [email protected]; [email protected] * To whom correspondence should be addressed.
Xavier Messeguer, Ruth Escudero, Domènec Farré, Oscar Núñez, M. Mar Albà
Bioinform.3